Create app.py

app.py

@@ -0,0 +1,56 @@
+import os
+import streamlit as st
+from groq import Groq
+
+# Set your Groq API key
+os.environ["GROQ_API_KEY"] = "your_groq_api_key_here"  # Replace with your actual API key
+
+# Initialize the Groq client
+client = Groq(
+    api_key=os.environ.get("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"),
+)
+
+def grammar_and_vocab_checker(input_text):
+    """
+    Function to check grammar and suggest vocabulary improvements using Groq API.
+    """
+    prompt = (
+        f"Correct any grammar errors and suggest better vocabulary for the following text:\n"
+        f"{input_text}\n"
+        f"Response:"
+    )
+    
+    chat_completion = client.chat.completions.create(
+        messages=[
+            {
+                "role": "user",
+                "content": prompt,
+            }
+        ],
+        model="llama3-8b-8192",  # Specify the model
+    )
+    
+    return chat_completion.choices[0].message.content
+
+# Streamlit app UI
+def main():
+    st.title("English Grammar and Vocabulary Checker")
+    st.write("Enter your text below to get grammar corrections and vocabulary suggestions.")
+    
+    # Input text area
+    user_input = st.text_area("Your Text", placeholder="Type your text here...")
+    
+    if st.button("Check"):
+        if user_input.strip():
+            with st.spinner("Processing..."):
+                try:
+                    response = grammar_and_vocab_checker(user_input)
+                    st.success("Here is the suggestion:")
+                    st.write(response)
+                except Exception as e:
+                    st.error(f"An error occurred: {e}")
+        else:
+            st.warning("Please enter some text to check.")
+
+if __name__ == "__main__":
+    main()