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Preetham04
commited on
Commit
•
6e342ef
1
Parent(s):
d70eac9
Update app.py
Browse files
app.py
CHANGED
@@ -1,63 +1,26 @@
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import gradio as gr
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from
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"""
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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messages.append({"role": "user", "content": message})
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response = ""
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for message in client.chat_completion(
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messages,
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max_tokens=max_tokens,
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stream=True,
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temperature=temperature,
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top_p=top_p,
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):
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token = message.choices[0].delta.content
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response += token
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yield response
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"""
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For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
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"""
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demo = gr.ChatInterface(
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respond,
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additional_inputs=[
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Top-p (nucleus sampling)",
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),
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],
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if __name__ == "__main__":
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import gradio as gr
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from transformers import pipeline
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pipeline = pipeline(task="text-classification", model="Preetham04/sentiment-analysis")
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def predict(input_text):
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predictions = pipeline(input_text)
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print(predictions)
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result = []
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for p in predictions:
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review = "POSITIVE" if p["label"] == "LABEL_1" else "NEGATIVE"
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result.append({
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"SENTIMENT": review,
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"SCORE": p["score"]
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})
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return result
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gradio_app = gr.Interface(
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predict,
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inputs="textbox",
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outputs="text",
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title="Sentiment- good or bad?",
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)
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if __name__ == "__main__":
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gradio_app.launch(share=True)
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