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.gitignore

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+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# UV
+#   Similar to Pipfile.lock, it is generally recommended to include uv.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#uv.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/
+
+# Ruff stuff:
+.ruff_cache/
+
+# PyPI configuration file
+.pypirc

Dockerfile

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+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the current directory contents into the container at /app
+COPY . /app
+
+# Install any needed packages specified in requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Make port 8000 available to the world outside this container
+EXPOSE 7860
+
+# Define environment variable for Flask app and set Flask environment to development
+ENV FLASK_APP=app.py
+ENV FLASK_DEBUG=1
+ENV FLASK_ENV=development
+
+# Run app.py when the container launches
+CMD ["flask", "run", "--host=0.0.0.0", "--port=7860"]

app.py

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+from flask import Flask, request, jsonify, render_template
+import os
+from flask_cors import CORS
+from googletrans import Translator
+from openai import *
+
+# Load API key and base URL from environment variables
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY") or os.getenv("GEMINI_API_KEY")
+if not OPENAI_API_KEY:
+    raise ValueError("OpenAI API Key is missing. Set it in environment variables.")
+
+OPENAI_API_BASE = os.getenv("OPENAI_API_BASE", "https://generativelanguage.googleapis.com/v1beta/openai/")  # Default is standard OpenAI
+OPENAI_MODEL = os.getenv("OPENAI_MODEL", "gemini-2.5-flash")  # Default model
+
+# Configure OpenAI client (supports custom base url for OpenAI-compatible APIs)
+client = OpenAI(api_key=OPENAI_API_KEY, base_url=OPENAI_API_BASE)
+
+# Set the static folder path to the "static" folder
+STATIC_FOLDER = os.path.join(os.path.dirname(__file__), "static")
+
+# Read the context file from the static folder
+CONTEXT_FILE = os.path.join(STATIC_FOLDER, "context.txt")
+try:
+    with open(CONTEXT_FILE, "r", encoding="utf-8") as file:
+        CONTEXT_DATA = file.read()
+except FileNotFoundError:
+    CONTEXT_DATA = "No context available."
+
+SYSTEM_INSTRUCTION = """
+You are Hal, an AI assistant created to help farmers.
+Your goal is to analyze the crop data provided in the context file and assist farmers by answering their queries and solving their problems.
+
+Response Rules:
+1. Use the context file to answer farmer-related questions.
+2. Do not share any personal information.
+3. Provide only the information available in the context file.
+4. If not found, generate helpful answers from agricultural knowledge.
+5. Keep responses simple, clear, and useful.
+"""
+
+# Flask app
+app = Flask(__name__, template_folder="templates", static_folder="static")
+CORS(app)
+
+# Translator instance
+translator = Translator()
+
+def translate_text(text, target_lang):
+    try:
+        translated = translator.translate(text, dest=target_lang)
+        return translated.text
+    except Exception as e:
+        return f"Translation error: {str(e)}"
+
+@app.route("/", methods=["GET"])
+def home():
+    return render_template("index.html")
+
+@app.route("/chat", methods=["POST"])
+def chat():
+    try:
+        data = request.get_json()
+        user_message = data.get("message")
+        target_lang = data.get("lang", "en")
+
+        if not user_message:
+            return jsonify({"error": "Message is required"}), 400
+
+        messages = [
+            {"role": "system", "content": SYSTEM_INSTRUCTION},
+            {"role": "user", "content": f"Context Data:\n{CONTEXT_DATA}\n\nUser Query: {user_message}"}
+        ]
+
+        # Call OpenAI (or OpenAI-compatible) chat API
+        response = client.chat.completions.create(
+            model=OPENAI_MODEL,
+            messages=messages,
+            temperature=0.7
+        )
+        ai_response = response.choices[0].message.content.strip()
+
+        if target_lang.lower() != "en":
+            ai_response = translate_text(ai_response, target_lang)
+
+        return jsonify({"response": ai_response})
+    except Exception as e:
+        return jsonify({"error": str(e)}), 500
+
+
+if __name__ == '__main__':
+    app.run(debug=True, host='0.0.0.0', port=7860, threaded=True)

requirements.txt

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+Flask
+googletrans==4.0.0-rc1
+flask-cors
+openai
+requests

templates/index.html

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+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <title>Hal Chat - Farmer Assistant (Milets)</title>
+  <style>
+    body {
+      font-family: Arial, sans-serif;
+      padding: 2rem;
+      background-color: #f4f4f4;
+    }
+    h1 {
+      color: #2c3e50;
+    }
+    label, select, input, textarea, button {
+      display: block;
+      margin-top: 1rem;
+      width: 100%;
+    }
+    textarea {
+      height: 100px;
+    }
+    #response {
+      margin-top: 2rem;
+      background: #fff;
+      padding: 1rem;
+      border-radius: 5px;
+    }
+  </style>
+</head>
+<body>
+  <h1>Ask Hal (Farmer AI)</h1>
+  <form id="chatForm">
+    <label for="message">Your Question:</label>
+    <textarea id="message" required></textarea>
+
+    <label for="lang">Response Language:</label>
+    <select id="lang">
+      <option value="en">English</option>
+      <option value="hi">Hindi</option>
+      <option value="mr">Marathi</option>
+      <option value="te">Telugu</option>
+      <option value="bn">Bengali</option>
+    </select>
+
+    <button type="submit">Ask</button>
+  </form>
+
+  <div id="response"></div>
+
+  <script>
+    document.getElementById("chatForm").addEventListener("submit", async (e) => {
+      e.preventDefault();
+
+      const message = document.getElementById("message").value;
+      const lang = document.getElementById("lang").value;
+
+      const responseBox = document.getElementById("response");
+      responseBox.innerHTML = "Thinking...";
+
+      try {
+        const res = await fetch("/chat", {
+          method: "POST",
+          headers: {
+            "Content-Type": "application/json"
+          },
+          body: JSON.stringify({ message, lang })
+        });
+
+        const data = await res.json();
+        responseBox.innerHTML = `<strong>Response:</strong><br>${data.response || data.error}`;
+      } catch (err) {
+        responseBox.innerHTML = "Error contacting the server.";
+      }
+    });
+  </script>
+</body>
+</html>

vercel.json

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+{
+ "version": 2,
+ "builds": [
+   {
+  "src": "./app.py",
+  "use": "@vercel/python"
+   }
+ ],
+ "routes": [
+   {
+  "src": "/(.*)",
+  "dest": "/app.py"
+   }
+ ]
+}