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import os
from groq import Groq
import gradio as gr
from dotenv import load_dotenv
from gtts import gTTS
import tempfile
load_dotenv()
API_KEY = os.getenv("GROQ_API_KEY")
if not API_KEY:
raise ValueError("Missing GROQ_API_KEY environment variable.")
client = Groq(api_key=API_KEY)
VALIDATION_PROMPT = "You are an intelligent assistant. Analyze the input question carefully. Respond with 'Yes' if the input is agriculture-related, and 'No' otherwise."
RESPONSE_PROMPT = "You are an agriculture expert. Provide a concise and accurate answer to the following agriculture-related question:"
def validate_input(input_text):
try:
validation_response = client.chat.completions.create(
model="llama-3.1-8b-instant",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": VALIDATION_PROMPT},
{"role": "user", "content": input_text},
],
temperature=0,
max_completion_tokens=1,
)
return validation_response.choices[0].message.content.strip()
except Exception as e:
return f"Error: {e}"
def get_agriculture_response(input_text):
try:
detailed_response = client.chat.completions.create(
model="llama-3.1-8b-instant",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": RESPONSE_PROMPT},
{"role": "user", "content": input_text},
],
temperature=0.5,
max_completion_tokens=700,
)
return detailed_response.choices[0].message.content.strip()
except Exception as e:
return f"Error: {e}"
def text_to_speech(text):
if not text.strip():
return None
try:
tts = gTTS(text=text, lang='en')
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=".mp3")
tts.save(temp_file.name)
return temp_file.name
except Exception as e:
print(f"TTS error: {e}")
return None
def groq_chatbot(input_text, chat_history):
validation_result = validate_input(input_text)
if validation_result.lower() == "yes":
response = get_agriculture_response(input_text)
elif validation_result.lower() == "no":
response = "❌ This is not an agriculture-related question."
else:
response = f"⚠️ Unexpected response: {validation_result}"
chat_history.append((input_text, response))
# Return chat history, clear input, reset audio output
return chat_history, "", None
def on_tts_click(chat_history):
if chat_history and chat_history[-1][1]:
last_response = chat_history[-1][1]
audio_path = text_to_speech(last_response)
return audio_path
return None
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