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.gradio/certificate.pem

@@ -0,0 +1,31 @@
+-----BEGIN CERTIFICATE-----
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+-----END CERTIFICATE-----

NextGenAgile.py

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+import os
+import langchain_mistralai
+from langchain.agents import AgentType, initialize_agent
+import gradio as gr
+from mistralai import Mistral
+import pandas as pd
+from collections import Counter
+from openai import AzureOpenAI
+import time
+import re
+
+# Memory per persona
+structured_memory = {
+    "👨‍💼 Scrum Master": {},
+    "💡 Product Owner": {},
+    "👨‍💻 Developer": {},
+    "🎨 Designer": {},
+}
+selected_items = []
+
+def prepare_model(selected_model):
+    if selected_model == 'o4-mini':
+        client = AzureOpenAI(
+                api_version="2024-12-01-preview",
+                azure_endpoint="https://nextgenagilehu4401821853.openai.azure.com/",
+                api_key="2ziHxIi2Pz511IscFVVjBpgHkm2nDXNfPAvXyFWpsmCHlpHwAOuJJQQJ99BEACHYHv6XJ3w3AAAAACOGmC8m"  # Use a string instead of AzureKeyCredential
+                )
+    elif selected_model == 'o3-mini':
+        client = AzureOpenAI(
+                api_version="2024-12-01-preview",
+                azure_endpoint="https://nextgenagilehu4401821853.openai.azure.com/",
+                api_key="2ziHxIi2Pz511IscFVVjBpgHkm2nDXNfPAvXyFWpsmCHlpHwAOuJJQQJ99BEACHYHv6XJ3w3AAAAACOGmC8m"  # Use a string instead of AzureKeyCredential
+                )
+    return client 
+
+def clear_selections():
+    global selected_items
+    selected_items.clear()
+    return ""
+
+def add_selection(option):
+    global selected_items
+    selected_items += [option]
+    flat_list = [item for sublist in selected_items for item in sublist]
+    counts = Counter(flat_list)
+    formatted_output = ", ".join(f"{count} {option.lower()}" for option, count in counts.items())
+    return formatted_output
+
+# Persona system prompts with emojis
+persona_prompts = {
+    "👨‍💼 Scrum Master": "You are an experienced Scrum Master responsible for creating detailed JIRA tickets across parameters like EPIC, Feature, Story, Tasks, Subtasks, assignee based on job designation,sprint and story points",
+    "💡 Product Owner": "You are a Product Owner focused on defining product features, value delivery, and aligning JIRA tickets with business outcomes. Depending on requirements you can focus upon these aspects: Description,Business Context,User Value,Scope,Out of Scope,Dependencies,Acceptance Criteria,Definition of Done,User Impact Metrics,Next Steps",
+    "👨‍💻 Developer": "You are a Software Developer breaking down technical objectives into implementation tasks, bug fixes, and engineering subtasks.Depending on requirements you can focus upon these aspects: Description, Acceptance Criteria, Technical Details:Frontend,Backend,Database,Integrations,Logging & Monitoring, Component/s, Definition of Done, Sub-tasks,Story Points",
+    "🎨 Designer": "You are a UX/UI Designer structuring JIRA tickets around user flows, UI components, and design assets."
+}
+
+# Default prompt examples
+persona_default_prompts = {
+    "👨‍💼 Scrum Master": "Objective: Automate JIRA story creation for a new agile project",
+    "💡 Product Owner": "Objective: Define user stories for a travel booking feature",
+    "👨‍💻 Developer": "Objective: Break down the user login system into dev tasks",
+    "🎨 Designer": "Objective: Create tasks for designing the homepage UI"
+}
+
+model_select = {
+    "O-4 Mini": "o4-mini",
+    "O-3 Mini" : "o3-mini"
+}
+# Process function with memory per persona
+def process_files(message, chat_history, persona,model):
+    selected_model = model_select.get(model)
+    client = prepare_model(selected_model)
+    system_prompt = persona_prompts.get(persona)
+    memory = structured_memory[persona]
+
+    if message.lower().startswith("objective:"):
+        objective = message.split(":", 1)[-1].strip()
+        if len(selected_items) > 0:
+            flat_list = [item for sublist in selected_items for item in sublist]
+            counts = Counter(flat_list)
+            formatted_output = ", ".join(f"{count} {option.lower()}" for option, count in counts.items())
+            full_prompt = f"Create a complete JIRA ticket for the {objective} where your team structure is: {formatted_output}"
+        else:
+            full_prompt = f"Create a complete JIRA ticket for the {objective}"
+
+        chat_response = client.chat.completions.create(
+            messages=[
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": full_prompt}
+            ],
+            max_completion_tokens=100000,
+            model=selected_model
+        )
+        bot_message = chat_response.choices[0].message.content
+        memory["current"] = bot_message
+
+    elif any(keyword in message.lower() for keyword in ["improve", "update", "change"]):
+        if "current" not in memory:
+            bot_message = "Please provide a project objective first using 'Objective: <your project>'."
+        else:
+            previous_output = memory["current"]
+            improvement_prompt = f"Improve the following JIRA ticket structure based on the user's instruction.\n\nStructure:\n{previous_output}\n\nUser Request:\n{message}"
+            chat_response = client.chat.completions.create(
+                messages=[
+                    {"role": "system", "content": system_prompt},
+                    {"role": "user", "content": improvement_prompt}
+                ],
+                max_completion_tokens=100000,
+                model=selected_model
+            )
+            bot_message = chat_response.choices[0].message.content
+            memory["current"] = bot_message
+    else:
+        bot_message = "Please start with 'Objective: <project>' or a request to update something."
+
+    chat_history.append({"role": "user", "content": message})
+    chat_history.append({"role": "assistant", "content": bot_message})
+    time.sleep(1)
+    return "", chat_history
+
+def insert_prefix(prefix_text, textbox_content):
+    if not textbox_content.lower().startswith(prefix_text.lower()):
+        return f"{prefix_text} {textbox_content}"
+    else:
+        return textbox_content
+
+def set_default_prompt(persona):
+    return persona_default_prompts.get(persona, "")
+
+# Gradio App
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column(scale=1):  # Sidebar
+            gr.Image("/afh/projects/NextGenAgileTool-aefe44c3-e188-4674-9bd7-fd55842e362e/data/logo-removebg-preview.png", width=135, height=100,show_download_button=False , container= False,show_fullscreen_button=False, show_label=False)
+            # gr.Markdown("### *NextGenAgile* – AI Jira Assistant")
+            gr.Markdown("### 💽 Choose Model")
+
+            model = gr.Dropdown(
+                choices=[
+                    "O-4 Mini",
+                    "O-3 Mini"
+                ],
+                value="",
+                label=""
+            )
+
+            gr.Markdown("### 🧠 Choose Persona")
+
+            persona = gr.Dropdown(
+                choices=[
+                    "👨‍💼 Scrum Master",
+                    "💡 Product Owner",
+                    "👨‍💻 Developer",
+                    "🎨 Designer"
+                ],
+                value="👨‍💼 Scrum Master",
+                label="🧑 Persona"
+            )
+
+        with gr.Column(scale=9):
+            
+            chatbot = gr.Chatbot(
+                label="Chat History",
+                type="messages",
+                height=500,
+                value=[
+                    {"role": "assistant", "content": "Hello! 👋 Start with an 'Objective' or ask to 'Improve' an earlier ticket."}
+                ]
+            )
+
+            with gr.Row():
+                objective_btn = gr.Button("➡️ Objective")
+                improve_btn = gr.Button("✏️ Improve")
+                update_btn = gr.Button("♻️ Update")
+                change_btn = gr.Button("🔄 Change")
+
+            with gr.Row():
+                msg = gr.Textbox(
+                    placeholder="Type your request here...",
+                    label="Your Prompt",
+                    lines=2,
+                    submit_btn=True
+                )
+
+            clear = gr.ClearButton([msg, chatbot])
+
+            # Hook logic
+            msg.submit(process_files, [msg, chatbot, persona,model], [msg, chatbot])
+            persona.change(set_default_prompt, persona, msg)
+
+            objective_btn.click(insert_prefix, inputs=[gr.State("Objective:"), msg], outputs=msg)
+            improve_btn.click(insert_prefix, inputs=[gr.State("Improve:"), msg], outputs=msg)
+            update_btn.click(insert_prefix, inputs=[gr.State("Update:"), msg], outputs=msg)
+            change_btn.click(insert_prefix, inputs=[gr.State("Change:"), msg], outputs=msg)
+
+# if __name__ == "__main__":
+#     demo.launch(debug=True, share=True)
+
+
+server_info = demo.launch(share=True)
+
+# Extract the public URL using regex
+match = re.search(r"Running on public URL: (https?://[^\s]+)", server_info)
+public_url = match.group(1) if match else "URL not found"
+
+# Save only the public URL to a file
+with open("gradio_link.txt", "w") as f:
+    f.write(public_url)

README.md

@@ -1,12 +1,6 @@
 ---
-title: Flask App
-emoji: 💻
-colorFrom: purple
-colorTo: indigo
+title: flask_app
+app_file: NextGenAgile.py
 sdk: gradio
-sdk_version: 5.31.0
-app_file: app.py
-pinned: false
+sdk_version: 5.29.0
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference