app.py
Browse files
app.py
CHANGED
@@ -119,16 +119,47 @@ with tab2:
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st.text_area("Meeting Transcript", combined_text, height=300)
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if st.button("Generate Meeting Minutes"):
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response = client.chat.completions.create(
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model="gpt-4-turbo",
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messages=[
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{"role": "system", "content": "You are an AI assistant that generates professional meeting minutes."},
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{"role": "user", "content":
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]
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)
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st.session_state["generated_minutes"] = response.choices[0].message.content
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-
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st.
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if st.session_state["generated_minutes"]:
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doc = Document()
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@@ -142,9 +173,9 @@ with tab2:
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data=docx_io,
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file_name="Meeting_Minutes.docx",
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mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document")
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-
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if st.button("Contract Analysis"):
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analysis_prompt = "
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thread = client.beta.threads.create()
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thread_id = thread.id
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client.beta.threads.messages.create(
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@@ -152,20 +183,20 @@ with tab2:
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role="user",
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content=analysis_prompt
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)
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-
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run = client.beta.threads.runs.create(
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thread_id=thread_id,
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assistant_id=ASSISTANT_ID
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)
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-
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while True:
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run_status = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
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if run_status.status == "completed":
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break
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time.sleep(1)
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-
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messages = client.beta.threads.messages.list(thread_id=thread_id)
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analysis_output = messages.data[0].content[0].text.value
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-
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st.write("### Contract Analysis Output:")
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st.text_area("Contract Analysis", analysis_output, height=300)
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st.text_area("Meeting Transcript", combined_text, height=300)
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if st.button("Generate Meeting Minutes"):
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prompt = f"""
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Based on the following meeting transcript, generate structured meeting minutes in the format below:
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---
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**Meeting Name:** [Enter meeting name]
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**Location:** [Enter location]
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**Date:** [Enter date]
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**Time:** [Enter time]
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**Attendees:** [List attendees]
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### Agenda Items
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- [Agenda Item 1]
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- [Agenda Item 2]
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- [Agenda Item 3]
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### Action Items
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| Action Item | Owner(s) | Deadline | Status |
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|------------|---------|----------|--------|
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| [Action Item 1] | [Owner(s) 1] | [Deadline 1] | [Status 1] |
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| [Action Item 2] | [Owner(s) 2] | [Deadline 2] | [Status 2] |
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| [Action Item 3] | [Owner(s) 3] | [Deadline 3] | [Status 3] |
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---
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**Meeting Summary:**
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[Brief summary of key points, discussions, and decisions]
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**Transcript:**
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{combined_text}
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"""
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response = client.chat.completions.create(
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model="gpt-4-turbo",
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messages=[
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{"role": "system", "content": "You are an AI assistant that generates professional meeting minutes in a structured template."},
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{"role": "user", "content": prompt}
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]
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)
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st.session_state["generated_minutes"] = response.choices[0].message.content
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st.write("### Generated Meeting Minutes:")
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st.text_area("Meeting Minutes", st.session_state["generated_minutes"], height=400)
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if st.session_state["generated_minutes"]:
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doc = Document()
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data=docx_io,
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file_name="Meeting_Minutes.docx",
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mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document")
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if st.button("Contract Analysis"):
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analysis_prompt = "Analyze this data and provide insights, risks, and relevant data based on the contract:\n" + st.session_state["generated_minutes"]
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thread = client.beta.threads.create()
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thread_id = thread.id
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client.beta.threads.messages.create(
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role="user",
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content=analysis_prompt
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)
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run = client.beta.threads.runs.create(
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thread_id=thread_id,
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assistant_id=ASSISTANT_ID
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)
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+
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while True:
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run_status = client.beta.threads.runs.retrieve(thread_id=thread_id, run_id=run.id)
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if run_status.status == "completed":
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break
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time.sleep(1)
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messages = client.beta.threads.messages.list(thread_id=thread_id)
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analysis_output = messages.data[0].content[0].text.value
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st.write("### Contract Analysis Output:")
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st.text_area("Contract Analysis", analysis_output, height=300)
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