Spaces:
Runtime error
Runtime error
SoSa123456
commited on
Commit
•
0ef9e65
1
Parent(s):
fff5905
Update app.py
Browse files
app.py
CHANGED
@@ -11,52 +11,51 @@ import gradio as gr
|
|
11 |
llm = HuggingFaceHub(repo_id="tiiuae/falcon-7b-instruct", model_kwargs={"temperature":0.6})
|
12 |
|
13 |
def get_response(prompt):
|
14 |
-
|
15 |
response = llm(prompt)
|
16 |
-
|
17 |
-
|
18 |
-
|
19 |
|
20 |
def word_count(section):
|
21 |
-
|
22 |
-
|
23 |
|
24 |
def generate_script(host_name, listener_location, climate_data, hazard_data):
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
script = f"""
|
29 |
-
|
30 |
|
31 |
-
|
32 |
|
33 |
-
|
34 |
|
35 |
-
|
36 |
|
37 |
-
|
38 |
|
39 |
-
|
40 |
|
41 |
-
|
42 |
"""
|
43 |
|
44 |
-
|
45 |
sections = script.split("\n")
|
46 |
|
47 |
-
|
48 |
word_counts = [word_count(section) for section in sections]
|
49 |
|
50 |
-
|
51 |
-
|
52 |
-
|
53 |
-
|
54 |
|
55 |
-
|
56 |
|
57 |
# Create a Gradio interface
|
58 |
iface = gr.Interface(fn=generate_script, inputs=["text", "text", gr.JSON(), gr.JSON()], outputs="text")
|
59 |
|
60 |
# Launch the interface
|
61 |
-
iface.launch()
|
62 |
-
|
|
|
11 |
llm = HuggingFaceHub(repo_id="tiiuae/falcon-7b-instruct", model_kwargs={"temperature":0.6})
|
12 |
|
13 |
def get_response(prompt):
|
14 |
+
# Generate a response from the language model
|
15 |
response = llm(prompt)
|
16 |
+
|
17 |
+
# Return the response
|
18 |
+
return response
|
19 |
|
20 |
def word_count(section):
|
21 |
+
# Count the number of words in a section
|
22 |
+
return len(section.split())
|
23 |
|
24 |
def generate_script(host_name, listener_location, climate_data, hazard_data):
|
25 |
+
# Variables
|
26 |
+
|
27 |
+
# Generate script
|
28 |
script = f"""
|
29 |
+
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...")}'
|
30 |
|
31 |
+
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...")}'
|
32 |
|
33 |
+
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...")}'
|
34 |
|
35 |
+
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...")}'
|
36 |
|
37 |
+
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...")}'
|
38 |
|
39 |
+
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...")}'
|
40 |
|
41 |
+
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!")}'
|
42 |
"""
|
43 |
|
44 |
+
# Split the script into sections
|
45 |
sections = script.split("\n")
|
46 |
|
47 |
+
# Calculate the word count for each section
|
48 |
word_counts = [word_count(section) for section in sections]
|
49 |
|
50 |
+
# Check if any section exceeds the target word count
|
51 |
+
for i, count in enumerate(word_counts):
|
52 |
+
if count > 200:
|
53 |
+
print(f"Warning: Section {i+1} exceeds the target word count. You may need to shorten this section.")
|
54 |
|
55 |
+
return script
|
56 |
|
57 |
# Create a Gradio interface
|
58 |
iface = gr.Interface(fn=generate_script, inputs=["text", "text", gr.JSON(), gr.JSON()], outputs="text")
|
59 |
|
60 |
# Launch the interface
|
61 |
+
iface.launch()
|
|