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Methodology

The chatbot integrates multiple AI workflows into a single Gradio UI. The process follows these main stages:

Input Handling

Users interact via a multimodal text box (supports text, image, and audio).

The chatbot determines whether the query contains:

Text only

Image file

Audio file

Intent Classification

Text queries are processed through a rule-based intent classifier (intents.json).

Example intents:

"chat" β†’ Send to hosted chatbot LLM.

"search_local_image" β†’ Trigger local semantic image search.

"request_image_analysis" β†’ Ask user to upload an image.

"request_audio_analysis" β†’ Ask user to upload audio.

Local Semantic Search

Metadata from image.json provides descriptions for images in /images/.

Each description is encoded using SentenceTransformers (all-MiniLM-L6-v2).

Query embeddings are compared with stored embeddings using cosine similarity.

If similarity > threshold (0.4), best match image is returned.

Image Analysis Workflow

Uploaded images are passed to the vision model (via gradio_client).

Raw AI output (JSON) is summarized with Groq API (LLaMA-3.3-70B).

Final user-facing response is a friendly explanation.

Audio Analysis Workflow

Uploaded audio is processed via the audio model (Gradio client).

Returns prediction text (e.g., transcription or classification).

Packaged as a human-readable response.

Groq Summarization

Any complex JSON output (e.g., image analysis) is summarized.

A system prompt guides Groq to produce short, user-friendly summaries.

Ensures technical data is explained in simple language.

Conversation Management

All interactions are stored in Chatbot history.

User query + bot response pairs are maintained for continuity.

Multimodal interactions (e.g., image + explanation) are rendered in chat.

Architecture at a Glance

User Input (Text / Image / Audio)

    β”‚
    
    β–Ό
    

Intent Classifier ──► Rule-based (intents.json)

    β”‚
    
    β”œβ”€ Chat β†’ Chatbot Client (LLM)
    
    β”œβ”€ Search Local Image β†’ Embedding Match
    
    β”œβ”€ Image Analysis β†’ Vision Client + Groq Summary
    
    └─ Audio Analysis β†’ Audio Client
    
    β–Ό
    

Response Generator (Groq Narrative + History)

    β–Ό
    

Gradio Chat UI