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Update app.py
Browse files
app.py
CHANGED
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@@ -245,13 +245,40 @@ def stream_pitchdeck(company_name, url):
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#gradio
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import gradio as gr
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inputs=[
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gr.Textbox(label="Company Name"),
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gr.Textbox(label="Company Website URL")
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@@ -260,6 +287,21 @@ iface = gr.Interface(
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title="Company Pitch Deck Generator",
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description="Enter the company name and website URL to generate a pitch deck based on the website content."
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)
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#gradio
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import gradio as gr
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def stream_pitchdeck2(company_name, url):
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if not company_name or not url:
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return "Please provide both company name and URL."
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user_prompt = get_pitch_user_prompt(company_name, url)
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if user_prompt == "Could not retrieve website details to generate pitch deck.":
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return user_prompt
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try:
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stream = openai.chat.completions.create(
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model=MODEL,
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messages=[
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": user_prompt}
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],
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stream=True
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)
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response = ""
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for chunk in stream:
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response += chunk.choices[0].delta.content or ''
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response = response.replace("```","").replace("markdown", "")
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yield response # Use yield for Gradio streaming
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return response
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except Exception as e:
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return f"An error occurred during OpenAI API call: {e}"
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# Create the Gradio interface
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iface2 = gr.Interface(
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fn=stream_pitchdeck2,
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inputs=[
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gr.Textbox(label="Company Name"),
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gr.Textbox(label="Company Website URL")
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title="Company Pitch Deck Generator",
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description="Enter the company name and website URL to generate a pitch deck based on the website content."
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)
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iface2.launch(debug = True, share=True)
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# import gradio as gr
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# #create the Gradio interface
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# iface = gr.Interface(
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# fn=stream_pitchdeck,
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# inputs=[
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# gr.Textbox(label="Company Name"),
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# gr.Textbox(label="Company Website URL")
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# ],
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# outputs=gr.Markdown(label="Generated Pitch Deck"),
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# title="Company Pitch Deck Generator",
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# description="Enter the company name and website URL to generate a pitch deck based on the website content."
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# )
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# # Launch the Gradio app
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# iface.launch()
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