SoSa123456 commited on
Commit
1f03019
1 Parent(s): 56d9120

Update app.py

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Files changed (1) hide show
  1. app.py +25 -43
app.py CHANGED
@@ -4,58 +4,40 @@ warnings.filterwarnings('ignore')
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  import matplotlib as mpl
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  mpl.rcParams["figure.dpi"] = 150
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- from langchain import HuggingFaceHub
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  import gradio as gr
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  # Initialize the language model
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- llm = HuggingFaceHub(repo_id="tiiuae/falcon-7b-instruct", model_kwargs={"temperature":0.6})
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-
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- def get_response(prompt):
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- # Generate a response from the language model
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- response = llm(prompt)
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-
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- # Return the response
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- return response
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-
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- def word_count(section):
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- # Count the number of words in a section
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- return len(section.split())
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-
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- def generate_script(host_name, listener_location, climate_data, hazard_data):
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- # Variables
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-
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- # Generate script
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- script = f"""
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- INTRODUCTION: '{get_response(f"{host_name}, good morning! This is {listener_location}'s local radio station. Today we're talking about an issue that affects us all - climate change. It's a pressing issue that requires our immediate attention...")}'
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-
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- CAUSES OF CLIMATE CHANGE: '{get_response(f"The causes of climate change are {climate_data['causes']}. Today, the level of CO2 in our atmosphere is {climate_data['co2_level']}, which is concerning...")}'
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-
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- EFFECTS OF CLIMATE CHANGE: '{get_response(f"These activities result in {climate_data['effects']}, leading to drastic changes in our environment. For instance, sea levels are rising at a rate of {hazard_data['sea_level_rise']} per year, and global temperatures are increasing at a rate of {hazard_data['warming_rate']} per decade...")}'
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-
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- POTENTIAL SOLUTIONS: '{get_response(f"But don't worry, there are solutions. {climate_data['solutions']} are all steps we can take to mitigate these effects...")}'
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-
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- INDIVIDUAL ROLE: '{get_response(f"Each one of us plays a role in combatting climate change. Even small actions can make a big difference. In fact, our location, {listener_location}, is particularly vulnerable to climate change due to its geographical features...")}'
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-
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- CALL TO ACTION: '{get_response(f"So, {listener_location}, why wait? Start taking steps today towards a greener future. Support local businesses that prioritize sustainability, reduce your carbon footprint, and voice your opinion to policy makers...")}'
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-
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- SUMMARY: '{get_response(f"In conclusion, climate change is a serious issue that requires our immediate attention. But by understanding its causes, effects, and potential solutions, we can all play a part in mitigating its impact. Thank you for joining us today, and remember, every small action counts!")}'
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- """
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-
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- # Split the script into sections
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  sections = script.split("\n")
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- # Calculate the word count for each section
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- word_counts = [word_count(section) for section in sections]
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- # Check if any section exceeds the target word count
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- for i, count in enumerate(word_counts):
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- if count > 200:
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  print(f"Warning: Section {i+1} exceeds the target word count. You may need to shorten this section.")
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- return script
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  # Create a Gradio interface
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- iface = gr.Interface(fn=generate_script, inputs=["text", "text", gr.JSON(), gr.JSON()], outputs="text")
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  # Launch the interface
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- iface.launch()
 
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  import matplotlib as mpl
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  mpl.rcParams["figure.dpi"] = 150
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+ from transformers import pipeline
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  import gradio as gr
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  # Initialize the language model
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+ generator = pipeline('text-generation', model='tiiuae/falcon-7b-instruct')
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+
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+ def generate_script(host_name, listener_location, causes_climate_change, co2_level, effects_climate_change, sea_level_rise, warming_rate, potential_solutions, individual_role, call_to_action):
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+ # Variables
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+ prompt_template = f"""INTRODUCTION: {host_name}, good morning! This is {listener_location}'s local radio station. Today we're talking about an issue that affects us all - climate change. It's a pressing issue that requires our immediate attention...
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+ CAUSES OF CLIMATE CHANGE: The causes of climate change are {causes_climate_change}. Today, the level of CO2 in our atmosphere is {co2_level}, which is concerning...
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+ EFFECTS OF CLIMATE CHANGE: These activities result in {effects_climate_change}, leading to drastic changes in our environment. For instance, sea levels are rising at a rate of {sea_level_rise} per year, and global temperatures are increasing at a rate of {warming_rate} per decade...
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+ POTENTIAL SOLUTIONS: But don't worry, there are solutions. {potential_solutions} are all steps we can take to mitigate these effects...
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+ INDIVIDUAL ROLE: Each one of us plays a role in combatting climate change. Even small actions can make a big difference. In fact, our location, {listener_location}, is particularly vulnerable to climate change due to its geographical features...
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+ CALL TO ACTION: So, {listener_location}, why wait? Start taking steps today towards a greener future. Support local businesses that prioritize sustainability, reduce your carbon footprint, and voice your opinion to policy makers...
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+ SUMMARY: In conclusion, climate change is a serious issue that requires our immediate attention. But by understanding its causes, effects, and potential solutions, we can all play a part in mitigating its impact. Thank you for joining us today, and remember, every small action counts!"""
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+
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+ # Generate the script
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+ script = generator(prompt_template, max_length=1000)[0]['generated_text']
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+
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+ # Split the script into sections
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  sections = script.split("\n")
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+ # Calculate the word count for each section
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+ word_counts = [len(section.split()) for section in sections]
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+ # Check if any section exceeds the target word count
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+ for i, count in enumerate(word_counts):
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+ if count > 200:
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  print(f"Warning: Section {i+1} exceeds the target word count. You may need to shorten this section.")
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+ return script
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  # Create a Gradio interface
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+ iface = gr.Interface(fn=generate_script, inputs=[gr.inputs.Textbox(label="Host Name"), gr.inputs.Textbox(label="Listener Location"), gr.inputs.Textbox(label="Causes Climate Change"), gr.inputs.Number(label="CO2 Level"), gr.inputs.Textbox(label="Effects Climate Change"), gr.inputs.Number(label="Sea Level Rise"), gr.inputs.Number(label="Warming Rate"), gr.inputs.Textbox(label="Potential Solutions"), gr.inputs.Textbox(label="Individual Role"), gr.inputs.Textbox(label="Call To Action")], outputs="text")
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  # Launch the interface
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+ iface.launch()