feat: Add Google Gemini provider (#79)

This commit adds a new provider for Google Gemini, allowing users to select Gemini as their LLM provider in ShellOracle.

The following changes were made:

- Created `src/shelloracle/providers/google.py` with the `Google` provider class.
- Added `google-generativeai` as a dependency in `pyproject.toml`.
- Modified `src/shelloracle/providers/__init__.py` to include the new provider.
- Updated `~/.shelloracle/config.toml` to include a configuration section for the Google provider.

Author: lpgn

pyproject.toml

@@ -32,7 +32,8 @@ dependencies = [
     "prompt-toolkit",
     "yaspin",
     "tomlkit",
-    "tomli >= 1.1.0; python_version < '3.11'"
+    "tomli >= 1.1.0; python_version < '3.11'",
+    "google-generativeai"
 ]
 
 [project.scripts]

src/shelloracle/providers/__init__.py

@@ -79,8 +79,16 @@ def _providers() -> dict[str, type[Provider]]:
     from shelloracle.providers.ollama import Ollama
     from shelloracle.providers.openai import OpenAI
     from shelloracle.providers.xai import XAI
-
-    return {Ollama.name: Ollama, OpenAI.name: OpenAI, LocalAI.name: LocalAI, XAI.name: XAI, Deepseek.name: Deepseek}
+    from shelloracle.providers.google import Google
+
+    return {
+        Ollama.name: Ollama,
+        OpenAI.name: OpenAI,
+        LocalAI.name: LocalAI,
+        XAI.name: XAI,
+        Deepseek.name: Deepseek,
+        Google.name: Google,
+    }
 
 
 def get_provider(name: str) -> type[Provider]:

src/shelloracle/providers/google.py

@@ -0,0 +1,37 @@
+from collections.abc import AsyncIterator
+
+import google.generativeai as genai
+
+from shelloracle.providers import Provider, ProviderError, Setting, system_prompt
+
+
+class Google(Provider):
+    name = "Google"
+
+    api_key = Setting(default="")
+    model = Setting(default="gemini-pro")  # Assuming a default model name
+
+    def __init__(self):
+        if not self.api_key:
+            msg = "No API key provided"
+            raise ProviderError(msg)
+        genai.configure(api_key=self.api_key)
+        self.model_instance = genai.GenerativeModel(self.model)
+
+
+    async def generate(self, prompt: str) -> AsyncIterator[str]:
+        try:
+            response = await self.model_instance.generate_content_async(
+                [
+                    {"role": "user", "parts": [system_prompt]},
+                    {"role": "model", "parts": ["Okay."]},  # Gemini requires a model response before user input
+                    {"role": "user", "parts": [prompt]},
+                ],
+                stream=True
+            )
+
+            async for chunk in response:
+                yield chunk.text
+        except Exception as e:
+            msg = f"Something went wrong while querying Google Gemini: {e}"
+            raise ProviderError(msg) from e